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Ramkumar Pandurangan

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Kendall Park, NJ
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
153 matches · 67W–86L · seasons 2019–2026
Match history153 matches
L
2026-10-24 · MTPA · #2 Doubles · 7.0 · with Tiana Mccarthy mixed
doesn’t count toward your NTRP rating
2-6, 2-6
L
2026-10-03 · Tennis Addicts · #3 Doubles · 3.5 · with Sarath Kapudasi
loading the estimate
4-6, 3-5
W
2026-08-09 · Princeton Knights · #1 Doubles · 7.0 · with Ravi Bhatheja
loading the estimate
6-2, 6-4
W
2026-08-08 · Princeton Knights · #3 Doubles · 7.0 · with Ravi Bhatheja
loading the estimate
6-3, 6-3
L
2026-06-28 · Topspinners · #3 Doubles · 3.5 · with Pradeep Thuloj
loading the estimate
1-6, 3-6
W
2026-06-20 · Topspinners · #2 Doubles · 3.5 · with Dhruv Bhatt
loading the estimate
7-6, 6-0
W
2026-06-14 · Topspinners · #1 Doubles · 3.5 · with Manish Chandwani
loading the estimate
6-2, 6-2
W
2026-06-07 · Topspinners · #2 Doubles · 3.5 · with Anil Ghelani
loading the estimate
5-7, 5-3, 1-0
W
2026-05-31 · Topspinners · #1 Doubles · 3.5 · with Anil Ghelani
loading the estimate
6-4, 7-5
W
2026-05-30 · Topspinners · #2 Doubles · 3.5 · with Anil Ghelani
loading the estimate
6-1, 6-2
W
2026-05-17 · Topspinners · #2 Doubles · 3.5 · with Anil Ghelani
loading the estimate
6-2, 3-6, 1-0
W
2026-05-16 · Topspinners · #2 Doubles · 3.5 · with Anil Ghelani
loading the estimate
6-1, 6-1
Where you rank locallyagainst everyone at your level
Teams23 teams · 2019–2027
Over timerating by season, and how you rank
By level5 levels played
3.5
48.2%
54W–58L · 50% of games
4.0
18.5%
5W–22L · 35.1% of games
7.0
2W–0L
not enough matches yet
7.0mixed
50%
5W–5L · 49.1% of games
7.5mixed
1W–1L
not enough matches yet

Games won matters more than matches won — NTRP adjusts on margins.

By lineusually #2 Doubles, 43% of the time
#2 Doubles
43%
66 matches
#1 Doubles
36%
55 matches
#3 Doubles
21%
32 matches

How often, across every team and every match we hold — including ones that do not count toward a rating. Advanced stats has a court-position table too, and it answers a different question: how well you do there, over matches that count. A team’s own page shows how that one team uses you.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.

It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.
Roger Federer